What are the features of Algorithms?

Well-defined steps: Algorithms consist of a clear and unambiguous set of instructions that can be followed to solve a specific problem.

Input and Output: Algorithms take input(s) and produce output(s), defining the relationship between the input and the desired result.

Finiteness: Algorithms have a finite number of steps, meaning they eventually terminate after a finite number of operations.

Determinism: Algorithms produce the same output for a given set of inputs, ensuring consistency and predictability.

Correctness: Algorithms are designed to solve the problem they are intended for and produce correct results.

Efficiency: Algorithms strive to be efficient in terms of time and resources, minimizing the computational complexity to achieve their objectives.

Generality: Algorithms can be applied to various instances of a problem and are not specific to a single input or scenario.

Modularity: Algorithms can be divided into smaller, manageable subproblems or modules, making them easier to understand, maintain, and reuse.

Flexibility: Algorithms can be adapted and modified to suit different requirements or accommodate changes in the problem domain.

Analysis: Algorithms can be analyzed for their performance characteristics, such as time complexity and space complexity, to evaluate their efficiency and scalability.